15 Low Latency Jobs

Design and architecture systems for Tax functions (including client documentation, reporting and tax withholding) with high scalability, high throughput, and large amounts of data Contribute to the technical design of the strategic engine by evaluating and employing Distributed Caching implementations for Multi-threaded and Concurrent Highly-Scalable processing. Complex Matching Algorithms for highly flexible, optimized and extremely fast matching Organizations enterprise platforms including Forms Engine and Data Lake Design and Implement user workflows using BPMN notation Manage project deliverables and tasks during development, user acceptance (UAT) and production implementation phases Manage user requirements, testing cycles and perform change management duties Develop highly scalable, resilient distributed systems using service oriented paradigms Perform memory, thread and CPU profiling of all core features for high volume processing and preform process analysis using JProfiler and VisualVM, jMap, jStack, jConsole Manage regulatory deliverables within a fast changing environment Work closely with the global counterparts (both technology & user teams) and other technology communities in the firm as part of team charged with managing global tax requirements for GS clients Qualifications: 3+ years of Java development 1+ years of service oriented architecture development Knowledge of Web UI technologies like React and Angular Familiarity with Spring Frameworks Strong skill in databases like DB2, Sybase IQ, MongoDB Knowledge of BPMN modelling and designing 1+ years of experience implementing systems with automated testing using junit, fitnesse, karate, etc Preferred Experience in Financial Services/Industry Messaging related technologies such as JMS, Apache Kafka

Analyze trading system performance and identify areas for improvement. Generate ideas for system enhancements that drive commercial performance. Implement, test and deploy these ideas. Improve the safety and reliability of trading systems. Work constructively in collaboration with other team members. Manage work to balance the short-term needs of the business with strategic enhancements. Experience/Skills Strong academic background in Computer Science or an analytical field such as Mathematics, Physics, Engineering, etc. Strong software engineering background. Proven ability to analyze data and draw useful commercial conclusions. Good communication skills. Experience of the following would be advantageous Securities/trading experience. Multi-threaded/concurrent programming. Java/C++ performance tuning. Low-latency systems, including messaging, network protocols, network I/O in Java, C/C++, JNI. Hardware stack and hardware architecture from a latency perspective. Know your way around a Linux terminal.

Principal Responsibilities Analyze trading system performance and identify areas for improvement. Generate ideas for system enhancements that drive commercial performance. Implement, test and deploy these ideas. Improve the safety and reliability of trading systems. Work constructively in collaboration with other team members. Manage work to balance the short-term needs of the business with strategic enhancements. Experience/Skills Strong academic background in Computer Science or an analytical field such as Mathematics, Physics, Engineering, etc Strong software engineering background. Proven ability to analyze data and draw useful commercial conclusions. Good communication skills. Experience of the following would be advantageous Securities/trading experience. Multi-threaded/concurrent programming. Java/C++ performance tuning. Low-latency systems, including messaging, network protocols, network I/O in Java, C/C++, JNI. Hardware stack and hardware architecture from a latency perspective. Know your way around a Linux terminal

As an analyst in the Platforms team your focus will be on building and maintaining our order management and exchange connectivity systems. Your responsibilities will include gathering requirements from internal/external clients, designing and developing features across our various trading platforms, focused on Direct Market Access and Market Data systems and deploying your solutions. Our global team interfaces with clients, sales, trading, compliance, legal and other strat & engineering teams in the firm on a regular basis and plays a critical role in sustaining Goldman Sach s Electronic Trading business. Responsibilities Design, build and maintain a high-performance, yet nimble and adaptive trading platforms for internal and external clients. Understand US Cash and Options market structure, regulations, exchange service offeringsincluding order entry and market data, and implement changes to these on an on-going basis. Communication with traders, sales, clients and compliance officers about new feature requests, explanation of existing features etc. Basic Qualifications Bachelor s degree in Computer Science or Engineering with 1.5+ years of relevant work experience Proficiency in C++ or another systems programming language Strong knowledge of data structures, algorithms and design patterns Experience with Linux operating system Strong communication skills and the ability to work in a team Preferred Qualifications Experience with building systems with strict requirements for low-latency (microseconds count) and deterministic performance Experience with networking, UDP multicast and distributed systems Experience with developing order management and exchange connectivity or market data processing systems

You will be working on a team focused on electronic market making and execution. You will work with other engineers and traders to improve all aspects of price-making, risk management and execution. You ll do this with a keen eye on performance, guided by a robust measurement framework and lots of experimentation. You will have an opportunity to develop a deep understanding of how GS interacts with some of the most dynamic and liquid markets in the world. Responsibilities & Qualifications Principal Responsibilities Analyze trading system performance and identify areas for improvement. Generate ideas for system enhancements that drive commercial performance. Implement, test and deploy these ideas. Improve the safety and reliability of trading systems. Work constructively in collaboration with other team members. Manage work to balance the short-term needs of the business with strategic enhancements. Experience/Skills Strong academic background in Computer Science or an analytical field such as Mathematics, Physics, Engineering, etc. Strong software engineering background. Proven ability to analyze data and draw useful commercial conclusions. Good communication skills. Experience of the following would be advantageous Securities/trading experience. Multi-threaded/concurrent programming. Java/C++ performance tuning. Low-latency systems, including messaging, network protocols, network I/O in Java, C/C++, JNI. Hardware stack and hardware architecture from a latency perspective. Know your way around a Linux terminal.

You will be working on a team focused on electronic market making and execution. You will work with other engineers and traders to improve all aspects of price-making, risk management and execution. You ll do this with a keen eye on performance, guided by a robust measurement framework and lots of experimentation. You will have an opportunity to develop a deep understanding of how GS interacts with some of the most dynamic and liquid markets in the world. Responsibilities & Qualifications Principal Responsibilities Analyze trading system performance and identify areas for improvement. Generate ideas for system enhancements that drive commercial performance. Implement, test and deploy these ideas. Improve the safety and reliability of trading systems. Work constructively in collaboration with other team members. Manage work to balance the short-term needs of the business with strategic enhancements. Experience/Skills Strong academic background in Computer Science or an analytical field such as Mathematics, Physics, Engineering, etc. Strong software engineering background. Proven ability to analyze data and draw useful commercial conclusions. Good communication skills. Experience of the following would be advantageous Securities/trading experience. Multi-threaded/concurrent programming. Java/C++ performance tuning. Low-latency systems, including messaging, network protocols, network I/O in Java, C/C++, JNI. Hardware stack and hardware architecture from a latency perspective. Know your way around a Linux terminal.

Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets. Engineering, which is comprised of core and business-aligned teams, is at the critical center of our business, and our dynamic environment requires innovative strategic thinking and immediate, real solutions. Want to push the limit of digital possibilities Start here. Your Impact The primary focus is the understanding, projection and optimization of the Equity funding and Capital footprint, together with the evolving suite of additional constrained resources. Projects will involve, The design and implementation of liquidity risk models. Understanding/optimizing the funding footprint of PB clients and innovate ways of improving returns. Structuring of new funding products to generate funding for EQ division, that comply with increasingly complex regulatory landscape. Implementation and management of internal carry frameworks to pass the correct incentives down to trading teams.

Exp - 4-7 years Location - Gurgaon Skill- Java Backend B.E./ B.TECH./ MCA or any other relevant engineering degree from a reputed university. Skills and Experience: 4 + years of experience A proven foundation in core Java and related technologies, with OO skills and design patterns. Track record building high quality software with design-focused and test-driven approaches. Hands-on experience in Java/ Spring Framework/Sprint Boot/Hibernate In depth understanding of concurrent programming and experience in designing high throughput, high availability, fault tolerant distributed applications. Prior experience in message brokers Understanding of relational databases is a must. Demonstrable experience building modern software using engineering tools such as git, maven, unit testing and integration testing tools, mocking frameworks. Strong analytical and software architecture design skills with an emphasis on test driven development Great analytical, problem-solving and communication skills Some experience or a real interest in finance, investment processes, and/or an ability to translate business problems into technical solutions. Nice to have and opportunities to learn: Expertise in building distributed applications using SQL and/or NOSQL technologies like MS SQL, Sybase, Cassandra or Redis A real-world practitioner of applying cloud-native design patterns to event-driven microservice architectures. Exposure to high scale distributed technology like Kafka, Mongo, Ignite, Redis Exposure to building microservices and APIs ideally with REST, Kafka or gRPC Experience working in an agile development team or on open-source development projects. Experience with optimization, algorithms or related quantitative processes. Experience with Cloud platforms like Microsoft Azure, AWS, Google Cloud Experience with cloud deployment technology (Docker, Ansible, Terraform, etc.) is also a plus. Experience with DevOps and tools like Azure DevOps Experience with AI-related projects/products or experience working in an AI research environment. Knowledge of modern front-end frameworks such as React, Vue.js or Angular is a plus. Exposure to Docker, Kubernetes, and cloud services is beneficial. A degree, certifications or opensource track record that shows you have a mastery of software engineering principles.

Role Summary The ideal candidate will design and execute profitable trading strategies, leveraging statistical and quantitative methods. You will closely with related team and management to refine trading systems and maximize performance across diverse markets. Key Responsibilities Design Profitable Low/High-Frequency Options Market-Making Strategies. Develop advanced algorithms to efficiently quote and trade options in high-frequency environments. Analyze large datasets to identify profitable trading opportunities. Optimize strategies for consistent profitability. Actively monitor and execute trading strategies across multiple markets and asset classes. Manage and mitigate risks associated with trading activities. Strategy Development and Optimization. Collaborate with team to create, test, and deploy trading strategies. Evaluate the performance of strategies and provide actionable insights. Analyze market patterns and identify potential trading opportunities. Conduct research on new trading opportunities using statistical and machine learning techniques. Stay updated on market trends, trading technologies, and regulatory changes. Qualifications & Experience Bachelor's or Master's degree in Finance, Mathematics, Economics, Computer Science, or a related field. Minimum 3 year in quantitative research, statistical analysis, or related fields. Preferred Skills Experience in high-frequency trading, options market-making, and managing PnL effectively. Experience with time-series analysis and predictive modeling. Familiarity with low-latency trading infrastructure. Strong understanding of financial instruments and derivatives. Knowledge of risk management and portfolio optimization techniques. Proven ability to develop and implement advanced trading algorithms. Proficiency in Python and R for statistical and data analysis. Familiarity with C++ for performance optimization (preferred). Knowledge of Linux/Unix operating systems. Ability to analyze large datasets to uncover trading opportunities and market inefficiencies. Strong quantitative aptitude and analytical skills. Strong interpersonal and collaboration skills to work within a multidisciplinary team. Effective communication and decision-making abilities under pressure. Experience applying machine learning techniques in financial markets. What We Offer A competitive compensation structure based on performance. Access to cutting-edge technology and infrastructure. A collaborative environment with experienced professionals. Opportunities for growth and continuous learning. Application Process Interested candidates are encouraged to submit their resume and a cover letter to jobs@stokhos.in.

*Architect and implement solutions that enable customers to get most out of what client can offer. *You will develop performant and robust Java applications while supplying continued evaluation and advancement of web technologies in the organization. Required Candidate profile Work on a high-velocity scrum team Architect & implement scalable end-to-end Web applications Help team lead to facilitate development processes Provide estimates & milestones for features/stories

As a member of this team, the data engineer will be responsible for designing and expanding our existing data infrastructure, enabling easy access to data, supporting complex data analyses, and automating optimization workflows for business and marketing operations Essential Responsibilities: As a Senior Software Engineer, your responsibilities will include: Building, refining, tuning, and maintaining our real-time and batch data infrastructure Daily use technologies such as Python, Spark, Airflow, Snowflake, Hive, FastAPI, etc. Maintaining data quality and accuracy across production data systems Working with Data Analysts to develop ETL processes for analysis and reporting Working with Product Managers to design and build data products Working with our DevOps team to scale and optimize our data infrastructure Participate in architecture discussions, influence the road map, take ownership and responsibility over new projects Participating in on-call rotation in their respective time zones (be available by phone or email in case something goes wrong) Desired Characteristics: Minimum 8 years of software engineering experience. An undergraduate degree in Computer Science (or a related field) from a university where the primary language of instruction is English is strongly desired. 2+ Years of Experience/Fluency in Python Proficient with relational databases and Advanced SQL Expert in usage of services like Spark and Hive. Experience working with container-based solutions is a plus. Experience in adequate usage of any scheduler such as Apache Airflow, Apache Luigi, Chronos etc. Experience in adequate usage of cloud services (AWS) at scale Proven long term experience and enthusiasm for distributed data processing at scale, eagerness to learn new things. Expertise in designing and architecting distributed low latency and scalable solutions in either cloud and on-premises environment. Exposure to the whole software development lifecycle from inception to production and monitoring. Experience in Advertising Attribution domain is a plus Experience in agile software development processes Excellent interpersonal and communication skills

Location: Mumbai Experience: 8+ Years Availability: Immediate Joiners Preferred About the Role We are looking for an experienced L3 Linux Administrator to manage and optimize our low-latency trading infrastructure. The ideal candidate will have deep expertise in Linux system administration, performance tuning, and troubleshooting within high-frequency trading environments. Key Responsibilities System Optimization: Configure and tune Linux systems for ultra-low latency, including kernel parameter adjustments, CPU isolation, NUMA optimizations, and persistent huge pages. Performance Monitoring & Troubleshooting: Diagnose and resolve issues like high CPU utilization, network packet drops, disk I/O bottlenecks, and performance degradation using advanced tools (perf, dropwatch, ethtool, etc.). Network Configuration: Optimize network stack settings for trading environments and configure multicast networking for market data feeds. Security Management: Secure FIX protocol communications and ensure compliance with industry standards through encryption and secure tunneling techniques. High Availability (HA): Design and implement HA solutions for trading applications using tools like Pacemaker or Corosync. Time Synchronization: Ensure precise time synchronization across trading servers using NTP/PTP configurations. Kernel Bypass Technologies: Leverage technologies such as DPDK or Solarflare OpenOnload to enhance network performance. Required Skills & Expertise Advanced knowledge of Linux system administration (RHEL/CentOS preferred). Experience in low-latency system design and performance tuning. Proficiency in troubleshooting tools (perf, strace, bpftrace). Expertise in FIX protocol security and troubleshooting FIX engine connectivity issues. Strong understanding of network stack optimizations (XPS/RPS tuning, IRQ balancing). Familiarity with kernel bypass technologies like DPDK or Solarflare OpenOnload. Preferred Experience in financial services or high-frequency trading environments. Knowledge of monitoring tools like Prometheus, Grafana, or ELK Stack. Proficiency in scripting languages such as Python or Bash.

Role Summary The ideal candidate will design and execute profitable trading strategies, leveraging statistical and quantitative methods. You will closely with related team and management to refine trading systems and maximize performance across diverse markets. Key Responsibilities Design Profitable Low/High-Frequency Options Market-Making Strategies. Develop advanced algorithms to efficiently quote and trade options in high-frequency environments. Analyze large datasets to identify profitable trading opportunities. Optimize strategies for consistent profitability. Actively monitor and execute trading strategies across multiple markets and asset classes. Manage and mitigate risks associated with trading activities. Strategy Development and Optimization. Collaborate with team to create, test, and deploy trading strategies. Evaluate the performance of strategies and provide actionable insights. Analyze market patterns and identify potential trading opportunities. Conduct research on new trading opportunities using statistical and machine learning techniques. Stay updated on market trends, trading technologies, and regulatory changes. Qualifications & Experience Bachelor's or Master's degree in Finance, Mathematics, Economics, Computer Science, or a related field. Minimum 3 year in quantitative research, statistical analysis, or related fields. Preferred Skills Experience in high-frequency trading, options market-making, and managing PnL effectively. Experience with time-series analysis and predictive modeling. Familiarity with low-latency trading infrastructure. Strong understanding of financial instruments and derivatives. Knowledge of risk management and portfolio optimization techniques. Proven ability to develop and implement advanced trading algorithms. Proficiency in Python and R for statistical and data analysis. Familiarity with C++ for performance optimization (preferred). Knowledge of Linux/Unix operating systems. Ability to analyze large datasets to uncover trading opportunities and market inefficiencies. Strong quantitative aptitude and analytical skills. Strong interpersonal and collaboration skills to work within a multidisciplinary team. Effective communication and decision-making abilities under pressure. Experience applying machine learning techniques in financial markets. What We Offer A competitive compensation structure based on performance. Access to cutting-edge technology and infrastructure. A collaborative environment with experienced professionals. Opportunities for growth and continuous learning. Application Process Interested candidates are encouraged to submit their resume and a cover letter to jobs@stokhos.in.

Role - Senior Trader Location - Mumbai & Gurugram Experience- 2 to 7 Years Our client is looking for experienced quantitative traders with a successful trading track record in trading proprietary trading strategies. The prior trading experience could be in any asset class and trading style i.e. high frequency trading / medium frequency trading / low frequency trading. As a senior trader you will be: Designing new quantitative trading strategies. Enhancing existing quantitative trading strategies. Analysing the performance of deployed strategies. Enhancing or building trading analytical tools. Required Skillset 2+ years of experience in quantitative trading. Experience in successful implementation of profitable trading strategies (from ideation to execution i.e. research, design, back-test and execution). Knowledge and experience of working with big data analytical tools like R, Python, etc. Experience in using some or all of the following packages: R, MATLAB, SPSS, CART, C# .Net, C++ Strong experience working both independently and, in a team,-oriented collaborative environment Entrepreneurial, self-motivated individual - high energy, high activity levels - passion for working with an innovative, small but rapidly growing company. Desired Skillset UNIX / Linux Scripting experience is desirable. C/C++ programming language experience is desirable. Prior experience of working with data tool sets like Bloomberg, etc. is preferred.

Strong core Java 11+ React JS CSS Docker/Container technologies Multi/N-threaded programming Domain-driven design, functional programming and micro-services Shell/Bash scripting Passionate, self-starter with the ability to work on problems from inception to completion Strong communication skills Excellent analytical and problem solving skills Ability to collaborate within FX Sales Technology team, the wider FX technology squads, support and sales stakeholders Strong academic background, preferably in computer science or a hard-science Highly Regarded Skills Low Latency Messaging Event Sourcing Kafka In depth knowledge and Experience in FX Systems Python/R Couchbase NoSQL Database Teamcity CICD pipeline